Pregled bibliografske jedinice broj: 1232520
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations
Signal Useful Information Recovery by Overlapping Supports of Time-Frequency Representations // IEEE transactions on signal processing, 70 (2022), 5504-5517 doi:10.1109/TSP.2022.3223575 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 1232520 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Signal Useful Information Recovery by Overlapping
Supports of Time-Frequency Representations
Autori
Saulig, Nicoletta ; Milovanović, Miloš ; Miličić, Siniša ; Lerga, Jonatan
Izvornik
IEEE transactions on signal processing (1053-587X) 70
(2022);
5504-5517
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Entropy ; Complexity theory ; Time-frequency analysis ; Substrates ; Frequency modulation ; Feature extraction ; Noise measurement
Sažetak
This paper presents a novel method for automatic extraction of useful information from time- frequency distributions of noisy signals. Signals' features are examined through the combined analysis of their time-frequency energy distributions and inverse complexity maps. The inverse complexity approach gives a new entropy- based insight into the signal structure. These two approaches result in mostly disjoint time- frequency supports, overlapping only in the proximity of the signal components. Locations of the signal components (i.e., useful information) are thus identified by low complexity and high amplitude occurring together in the time-frequency plane. Compared to existing methods using only the time-frequency energy distribution, useful information extraction by the proposed method exhibits a significantly reduced error rate.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Računarstvo
POVEZANOST RADA
Projekti:
IP-2018-01-3739 - Sustav potpore odlučivanju za zeleniju i sigurniju plovidbu brodova (DESSERT) (Prpić-Oršić, Jasna, HRZZ - 2018-01) ( CroRIS)
EK--951732 - Nacionalni centri kompetencija u okviru EuroHPC (EUROCC) (Štula, Maja; Kranjčević, Lado; Kovač, Mario; Skala, Karolj; Miletić, Vedran, EK ) ( CroRIS)
MINGO-ESIF-KK.01.2.1.02.0179 - ABsistemDCiCloud (ABsistemDCiCloud) (Lerga, Jonatan, MINGO - Fond: Europski fond za regionalni razvoj Program: OP Konkurentnost i kohezija 2014. - 2020. Jačanje gospodarstva primjenom istraživanja i inovacija Područje: IRI - Povećanje razvoja novih proizvoda i usluga koji proizlaze iz aktivnosti istraživanja i raz) ( CroRIS)
VLASTITA-SREDSTVA-uniri-tehnic-17 - Računalom potpomognuta digitalna analiza i klasifikacija signala (UNIRI-TEHNIC-18-17) (Lerga, Jonatan, VLASTITA-SREDSTVA - UNIRI2018) ( CroRIS)
NadSve-Sveučilište u Rijeci-uniri-tehnic-18-15 - Razvoj postupaka temeljenih na strojnom učenju za prepoznavanje bolesti i ozljeda iz medicinskih slika (Štajduhar, Ivan, NadSve ) ( CroRIS)
MZO-BI-HR/20-21-043 - Analiza hiperspektralnih slika korištenjem strojnog učenja i adaptivnog filtrianja prilagođenog podacima (Lerga, Jonatan, MZO ) ( CroRIS)
COST-CA17137 - Mreža za gravitacijske valove, geofiziku i strojno učenje (G2NET) (COST ) ( CroRIS)
Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište Jurja Dobrile u Puli
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus